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Data Science Framework

Our Data Science Framework provides a comprehensive, rigorous, and disciplined foundation for doing data science creating a scaffold for transparent documentation and dissemination of every step of the data science process.

The data science framework starts with the research question, or problem identification, and continues through the following steps: data discovery —inventory, screening, and acquisition; data ingestion and governance; data wrangling —data profiling, data preparation and linkage, and data exploration; fitness-for-use assessment; statistical modeling and analyses; communication and dissemination of results; and ethics review.